2019 PhD Alumni
Julie Deeke
Advisors: Johann Gagnon-Bartsch
Dissertation: Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data
Last Known Position: Teaching Assistant Professor, University of Illinois Department of Statistics
Yanzhen Deng
Advisor: Tailen Hsing
Dissertation: Group Sparsity in Regression and PCA
Last Known Position: Data Scientist, Google
Xinzhou Guo
Advisor: Xuming He
Dissertation: Subgroup Analysis: Risk Quantification and Debiased Inference
Last Known Position: Assistant Professor of Mathematics, Hong Kong University of Science and Technology
Adam Hall
Advisor: Roderick Little and Matthew Shapiro
Dissertation: Unified Price Indices for Spatial Comparisons
Last Known Position: Research Mathematical Statistician, US Census Bureau
Yura Kim
Advisor: Liza Levina
Dissertation: Statistical Tools for Samples of Weighted Networks with Applications to Neuroimaging
Last Known Position: Statistician, Food and Drug Administration (FDA)
Peng Liao
Advisors: Susan Murphy and Ambuj Tewari
Dissertation: Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning
Last Known Position: Quantitative Researcher, DRW
Boang Liu
Advisor: Ji Zhu
Dissertation: Statistical Learning for Networks with Node Features
Last Known Position: Senior Data Scientist, Google
Zhiyuan Lu
Advisor: Mouli Banerjee and George Michailidis
Dissertation: Large Data Approaches to Thresholding Problems
Last Known Position: Statistical Researcher, National Center for Toxicological Research
Timothy NeCamp
Advisors: Ed Ionides and Zhenke Wu
Dissertation: Design and Analysis of Sequential Randomized Trials with Applications to Mental Health and Online Education
Last Known Position: Chief Data Scientist and Cofounder, Data Bloom
Jinqi Shen
Advisor: Tailen Hsing
Dissertation: Local Structure of Random Fields - Properties and Inference
Last Known Position: Senior Machine Learning Engineer, AirBnB, Inc
Chun-Chen Tu
Advisors: Naisyin Wang and Florence Forbes
Dissertation: Enhancing Prediction Efficacy with High-Dimensional Input Via Structural Mixture Modeling of Local Linear Mappings
Last Known Position: Senior Machine Learning Engineer, Atlassian
Jingshen Wang
Advisor: Xuming He
Dissertation: Debiased Post Selection Inference
Last Known Position: Assistant Professor of Biostatistics, University of California-Berkeley
Wenyi Wu
Advisor: Ji Zhu
Dissertation: Scalable Classification Methods with Applications to Healthcare Claims and Automotive Dealership Data
Last Known Position: Senior Applied Scientist, Amazon
Ruofei Zhao
Advisor: Yuekai Sun
Dissertation: Convergence and Consistency Results in Spectral Clustering and Gaussian Mixture Models
Last Known Position: Quantitative Researcher, Sunrise Futures LLC
2018 PhD Alumni
Jesús Arroyo Relion
Advisor: Liza Levina
Dissertation: Topics in Network Analysis with Applications to Brain Connectomics
Last Known Position: Assistant Professor of Statistics, Texas A&M University
Shrijita Bhattacharya
Advisors: George Michailidis and Stilian Stoev
Dissertation: Outlier Identification in Spatio-Temporal Processes
Last Known Position: Assistant Professor, Michigan State University Department of Statistics, East Lansing, MI
Alexander Giessing
Advisor: Xuming He
Dissertation: On High-Dimensional Misspecified Quantile Regression
Last Known Position: Assistant Professor, National University of Singapore
Teal Guidici
Advisors: Charles Burant and George Michailidis
Dissertation: Methods for Utilizing Co-expression Networks for Biological Insight
Last Known Position: Machine Intelligence Scientist, Draper
Jun Guo
Advisor: Yves Atchade
Dissertation: Some Contributions to High Dimensional Mixed Effects Logistic Regression Models
Last Known Position: Quantitative Associate, Wells Fargo Bank
Michael Hornstein
Advisors: Kerby Shedden and Shuheng Zhou
Dissertation: Joint Mean and Covariance Modeling of Matrix-Variate Data
Last Known Position: Data Scientist, Snowflake
Gregory Hunt
Advisor: Johann Gagnon-Bartsch
Dissertation: Cell Type Deconvolution and Transformation of Microenvironment Microarray Data
Last Known Position: Assistant Professor of Mathematics, College of William and Mary, Williamsburg, VA
Tianxi Li
Advisors: Liza Levina and Ji Zhu
Dissertation: Statistical Tools for Network Data: Prediction and Resampling
Last Known Position: Assistant Professor of Statistics, University of Minnesota - Twin Cities
Jiahe Lin
Advisors: George Michailidis and Moulinath Banerjee
Dissertation: Modeling and Estimating Multi-Block Interactions for High-Dimensional Stationary Time Series
Last Known Position: Machine Learning Researcher, Morgan Stanley
Joon Ha Park
Advisor: Ed Ionides
Dissertation: Computational Inference Algorithms for Spatiotemporal Processes and Other Complex Models
Last Known Position: Assistant Professor, University of Kansas
Mikhail Yurochkin
Advisor: Long Nguyen
Dissertation: Geometric Inference in Bayesian Hierarchical Models with Applications to Topic Modeling
Last Known Position: Research Manager, MIT-IBM Watson AI Lab
2017 PhD Alumni
Nhat Ho
Advisors: Long Nguyen and Ya'acov Ritov
Dissertation: Parameter estimation and multilevel clustering with mixture and hierarchical models
Last Known Position: Assistant Professor, The University of Texas at Austin
Hossein Keshavarz
Advisor: Long Nguyen and Clayton Scott
Dissertation: Detection and Estimation in Gaussian Random Fields: Minimax Theory and Efficient Algorithms
Last Known Position: Senior Data Scientist, RelationalAI
Karen Nielsen
Advisor: Richard Gonzalez
Dissertation: Selecting and Evaluating Models to Reflect Underlying Scientific Principles: Using Basis Sets to Parameterize Hypotheses
Last Known Position: Assistant Professor, Georgia State University
Cheng Qian
Advisor: Ji Zhu
Dissertation: Some Advances on Modeling High-Dimensional Data with Complex Structures
Last Known Position: Assistant Professor, Southeast University
Kazem Shirani
Advisors: Ambuj Tewari and George Michailidis
Dissertation: Non-asymptotic Adaptive Control of Linear-Quadratic Systems
Last Known Position: Assistant Professor in Data Science, Southern Methodist University
Kam Chung Wong
Advisor: Ambuj Tewari
Dissertation: Lasso Guarantees for Dependent Data
Last Known Position: Research Assistant Professor, Hong Kong University of Science and Technology
Yun Jhong Wu
Advisors: Liza Levina and Ji Zhu
Dissertation: Link prediction and denoising in networks
Last Known Position: Research Developer, Proprietary Startup
Ziheng Yang
Advisors: George Michailidis and Ji Zhu
Dissertation: Integrative Analysis Methods for Biological Problems Using Data Reduction Approaches
Last Known Position: Senior Data Scientist, NinjaHoldings
2016 PhD Alumni
Sougata Chaudhuri
Advisor: Ambuj Tewari
Dissertation: Learning to Rank: Online Learning, Statistical Theory and Applications
Last Known Position: Lead Scientist, Salesforce
Joshua Errickson
Advisor: Ben Hansen
Dissertation: Two-stage Regression for Treatment Effect Estimation
Last Known Position: Adjunct Professor, University of Michigan, Ann Arbor, MI
Can Le
Advisors: Elizaveta Levina and Roman Vershynin
Dissertation: Estimating Community Structure in Networks by Spectral Methods
Last Known Position: Assistant Professor, UC Davis, Davis, CA
Huitian Lei
Advisors: Susan Murphy and Ambuj Tewari
Dissertation: An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention
Last Known Position: Data Scientist, Lyft
Naveen Narisetty
Advisor: Xuming He and Vijay Nair
Dissertation: Statistical Analysis of Complex Data: Bayesian Model Selection and Functional Data Depth
Last Known Position: Assistant Professor, University of Illinois at Urbana–Champaign, IL
Dao Nguyen
Advisor: Edward Ionides
Dissertation: Iterated Filtering and Smoothing with Application to Infectious Disease Models
Last Known Position: Assistant Professor of Mathematics, University of Mississippi, Oxford, MS
Seyoung Park
Advisors: Xuming He and Shuheng Zhou
Dissertation: Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions
Last Known Position: Assistant Professor, Yonsei University
Yingchuan Wang
Advisor: Xuming He
Dissertation: Logistic-Normal Mixtures with Heterogeneous Components and High Dimensional Covariates
Last Known Position: FTR Trading, BP, Houston, TX
Tianshuang Wu
Advisor: Susan Murphy
Dissertation: Set Valued Dynamic Treatment Regimes
Last Known Position: Director, AbbVie, Inc
Chia Chye Yee
Advisor: Yves Atchade
Dissertation: Topics in High-Dimensional Statistics and the Analysis of Large Hyperspectral Images
Last Known Position: Statistician Lead, Michigan Medicine
Yiwei Zhang
Advisor: Ji Zhu
Dissertation: Contributions to High-dimensional Data Analysis using Factor Models and Low Rank Approximations
Last Known Position: Principal Scientist Biostatistician, Merck, Houston, TX
Yuan Zhang
Advisors: Liza Levina and Ji Zhu
Dissertation: Statistical network analysis: beyond block models
Last Known Position: Associate Professor of Statistics, The Ohio State University
2015 PhD Alumni
Pramita Bagchi
Advisor: Moulinath Banerjee and Stilian Stoev
Dissertation: Non-Standard Statistical Inference Under Short and Long Range Dependence
Last Known Position: Assistant Professor of Biostatistics, George Mason University
James Henderson
Advisor: George Michailidis and Kerby Shedden
Dissertation: Methods for Reconstructing Networks with Incomplete Information
Last Known Position: Assistant Research Scientist, Michigan Medicine, Ann Arbor, MI
Xi Lu
Advisor: Susan Murphy
Dissertation: Evaluation and Comparison of Dynamic Treatment Regimes: Methods andChallenges
Last Known Position: Senior Data Analyst, Google, Mountain View, CA
Jing Ma
Advisors: George Michailidis and Kerby Shedden
Dissertation: Estimation and Inference for High-Dimensional Gaussian Graphical Modelswith Structural Constraints
Last Known Position: Associate Professor, Fred Hutchinson Cancer Research Center, Seattle, WA
Sandipan Roy
Advisors: George Michailidis and Yves Atchade
Dissertation: Statistical Inference and Computational Methods for Large High-DimensionalData with Network Structure
Last Known Position: Associate Professor, University of Bath, Bath, UK
Donggeng Xia
Advisors: George Michailidis and Moulinath Banerjee
Dissertation: Measuring influence and topic dependent interactions in social media networksbased on a counting process modeling framework
Last Known Position: Senior Data Scientist, TikTok
Robert A Yuen
Advisor: Stilian A. Stoev
Dissertation: Topics on estimation, prediction and bounding risk for multivariate extremes
Last Known Position: Senior Director of Data Science, Liberty Mutual Insurance, Seattle, WA
Xiang Zhou
Advisor: Yu Xie
Dissertation: Three essays on economic inequality and social mobility
Last Known Position: Associate Professor, Harvard University
2014 PhD Alumni
Sumanta Basu
Advisor: George Michailidis
Dissertation: Modeling and Estimation of High-dimensional Vector Autoregressions (VAR)
Last Known Position: Associate Professor, Cornell University, Ithica, NY
Thomas Brown
Advisor: Tailen Hsing
Dissertation: Analyzing Spatial Processes Locally
Last Known Position: Senior Scientist, Exponent Data, Detroit, MI
Nirupam Chakrabarty
Advisor: George Michailidis and Moulinath Banerjee
Dissertation: Semi-parametric Estimation of Target Location in Wireless Sensor Network
Last Known Position: Vice President of Corporate Model Risk, Lead Quant in Credit and PPNR Modeling, Wells Fargo, San Francisco, CA
Ming-Chi Hsu
Advisor: Kerby Shedden
Dissertation: Contributions to Effect Size Analysis with Large Scale Data
Last Known Position: Unknown
Juan Shen
Advisor: Xuming He
Dissertation: Model-based Inference for Subgroup Analysis
Last Known Position: Assistant Professor, University of Fudan, Shanghai, China
Zhanyang Zhang
Advisor: Vijay Nair and Ji Zhu
Dissertation: Predictive Models and Calibration Analysis in Large-Scale Computational Studies
Last Known Position: ML Eng Manager, Meta
2013 PhD Alumni
Jie Cheng
Advisor: Ji Zhu and Liza Levina
Dissertation: Mixed and Covariate Dependent Graphical Models
Last Known Position: Director of Data Sciencet, Google
Atul Mallik
Advisor: Moulinath Banerjee and Michael Woodroofe
Dissertation: Topics on threshold Estimation, Multistage Methods and Random Fields
Last Known Position: Data Scientist, Google
Shawn Mankad
Advisor: George Michailidis
Dissertation: Statistical Techniques for the Exploratory Analysis of Structured Three-way and Dynamic Network Data
Last Known Position: Associate Professor, North Carolina State University
Ashin Mukherjee
Advisor: Ji Zhu and Naisyin Wang
Dissertation: Topics on Reduced Rank Methods for Multivariate Regression
Last Known Position: VP of Data Science, Quantifind, Menlo Park, CA
Yeo Jung (Tess) Park
Advisor: Kerby Shedden
Dissertation: New Methods for Discovering Hidden Dependence and for Assessing the Possible Influence of Unobserved Variables
Last Known Position: Principal Data Scientist, Powerlytics Inc.
Adam Sales
Advisor: Ben Hansen
Dissertation: New Perspectives on Regression Adjustment in Causal Inference, with Applications to Educational Program Evaluation
Last Known Position: Assistant Professor of Statistics, Worcester Polytechnic Institute
Juan Zhang
Advisor: Kerby Shedden
Dissertation: Statistical Analysis for Genomic Studies Involving Measurement Error, Multiple Populations, and Limited Sample Size
Last Known Position: Post-Doctoral Researcher, Dalian Commodity Exchange, Dalian, China
2012 PhD Alumni
Kohinoor Dasgupta
Advisor: Vijay Nair, Stilian Stoev and Xuanlong Nguyen
Dissertation: Inference for Neuronal Networks using Temporal and Graphical Models
Last Known Position: Director Biostatistics, Novartis, Pradesh, India
Cen Guo
Advisor: Tailen Hsing and Long Nguyen
Dissertation: Machine Learning Methods for Magnetic Resonance Imaging Analysis
Last Known Position: Senior Manager, Data Science, Apple, Inc
Toshiya Hoshikawa
Advisor: Tailen Hsing and Kerby Shedden
Dissertation: Contributions to Functional Data Analysis and High-Throughput Screening Assay Analysis
Last Known Position: Staff Business Data Scientist, Google
Yun Li
Advisor: Naisyin Wang and Ji Zhu
Dissertation: Regularized Statistical Methods for Data of Grouped or Dynamic Nature
Last Known Position: Unknown
Fangyi Liu
Advisor: Kerby Shedden
Dissertation: Contribution to Statistical Image Analysis for High Content Screening
Last Known Position: Unknown
Olga Marchenko
Advisor: Robert Keener
Dissertation: Joint Parametric Modeling and Estimation of Time to Cancer Recurrence and Disease Stage at Recurrence
Last Known Position: VP - Head of Clinical Statistics, Bayer
Joel Vaughan
Advisor: George Michailidis and Stilian Stoev
Dissertation: Problems in Spatio-Temporal Modelling, Kriging, and Prediction of Computer Network Traffic
Last Known Position: Assistant Professor, Quinnipiac University, Hamden CT
Yizao Wang
Advisor: Stilian Stoev
Dissertation: Topics on Max-stable Processes and the Central Limit Theorem
Last Known Position: Professor, University of Cincinnati, Cincinnati, OH
Zhen (Adelle) Wang
Advisor: Edward Ionides
Dissertation: Topics in Time Series Analysis with Macroeconomic Applications
Last Known Position: Head of Biometrics & Data Management, BioGenuine
Sahar Zangeneh
Advisor: Robert Keener and Roderick Little
Dissertation: Model-Based Methods for Robust Finite Population Inference in the Presence of External Information
Last Known Position: Research Statistician, RTI International
Yunpeng Zhao
Advisor: Liza Levina and Ji Zhu
Dissertation: Statistical Inference for some Problems in Network Analysis
Last Known Position: Associate Professor, Arizona State University, Glendale, AZ
2011 PhD Alumni
Jian Guo
Advisor: Liza Levina and Ji Zhu
Dissertation: Topics in High-Dimensional Unsupervised Learning
Last Known Position: Founder and CEO, DeepX Asset Management Inc., Beijing City, China
Carrie Hosman
Advisor: Ben Hansen
Dissertation: Methods to Control for Overt and Hidden Biases in Comparative Studies
Last Known Position: Visiting Lecturer, Mount Holyoke College, South Hadley, MA
Eric Laber
Advisor: Susan Murphy
Dissertation: Adaptive Confidence Intervals for Non-Smooth Functionals
Last Known Position: Professor of Statistical Science, Duke University
Runlong Tang
Advisor: Moulinath Banerjee and George Michailidis
Dissertation: Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designed Studies and Observed Data Settings
Last Known Position: Model Auditor of Foundational Audit, Freddie Mac
Jing Wang
Advisor: Yves Atchade and Anocha Aribarg
Dissertation: Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network
Last Known Position: Director of Data Science, Google, San Francisco, CA
Yang Yang
Advisor: Vijay Nair and Yves Atchade
Dissertation: Contributions to the Analysis of Multistate and Degradation Data
Last Known Position: Software Engineer, Pinterest, Mountain View, CA
Hao Zhou
Advisor: George Michailidis
Dissertation: Methods and Tools for Visual Analytics
Last Known Position: Director of Data Science, Salesforce, Redwood City, CA
2010 PhD Alumni
Anindya Bhadra
Advisor: Edward Ionides
Dissertation: Time Series Analysis for Nonlinear Dynamical Systems with Applications to Modeling of Infectious Diseases
Last Known Position: Professor, Purdue University, West Lafayette, IN
Jason Goldstick
Advisor: Kerby Shedden
Dissertation: Contributions to Modeling the Dynamic Association Structure in Longitudinal Data Sets
Last Known Position: Research Associate Professor, University of Michigan Health Systems, Ann Arbor, MI
Min Qian
Advisor: Susan Murphy
Dissertation: Model Selection and l1 Penalization for Individualized Treatment Rules
Last Known Position: Associate Professor, Columbia University, New York, NY
Robert C Reiner, Jr
Advisor: Vijay Nair and Anna Amirdjanova
Dissertation: Parameter Estimation in Several Classes of Non-Markovian Random Processes Defined by Stochastic Differential Equations
Last Known Position: Associate Professor, University of Washington, Seattle, WA
Adam Rothman
Advisor: Liza Levina and Ji Zhu
Dissertation: Sparse Estimation of High-Dimensional Covariance Matrices
Last Known Position: Professor, University of Minnesota, Minneapolis, MN
Ali Shojaie
Advisor: George Michailidis
Dissertation: Estimation and Inference in High Dimensional Networks with Applications to Biological Systems
Last Known Position: Professor and Associate Chair for Strategic Research Affairs , Biostatistics, University of Washington, Seattle, WA